With training in mathematics, statistics and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school- and college-level mathematics. He is currently an adjunct instructor at Florida SouthWestern State College and retired faculty at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, including a Developmental Math series and a Precalculus series which he writes with his father, Michael Sullivan.  Mike built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so they will become better decision makers with stronger critical-thinking skills.

• Applications IndexI. GETTING THE INFORMATION YOU NEED 1. Data Collection 1.1 Introduction to the Practice of Statistics1.2 Observational Studies versus Designed Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of ExperimentsChapter 1 ReviewChapter TestMaking an Informed Decision: What College Should I Attend?Case Study: Chrysalises for Cash II. DESCRIPTIVE STATISTICS 2. Organizing and Summarizing Data 2.1 Organizing Qualitative Data2.2 Organizing Quantitative Data: The Popular Displays2.3 Additional Displays of Quantitative Data2.4 Graphical Misrepresentations of DataChapter 2 ReviewChapter TestMaking an Informed Decision: Tables or Graphs?Case Study: The Day the Sky Roared 3. Numerically Summarizing Data 3.1 Measures of Central Tendency3.2 Measures of Dispersion3.3 Measures of Central Tendency and Dispersion from Grouped Data3.4 Measures of Position and Outliers3.5 The Five-Number Summary and BoxplotsChapter 3 ReviewChapter TestMaking an Informed Decision: What Car Should I Buy?Case Study: Who Was "A Mourner"? 4. Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation4.2 Least-Squares Regression4.3 Diagnostics on the Least-Squares Regression Line4.4 Contingency Tables and Association4.5 Nonlinear Regression: Transformations (online)Chapter 4 ReviewChapter TestMaking an Informed Decision: Relationships among Variables on a World ScaleCase Study: Thomas Malthus, Population, and Subsistence III. PROBABILITY AND PROBABILITY DISTRIBUTIONS 5. Probability 5.1 Probability Rules5.2 The Addition Rule and Complements5.3 Independence and the Multiplication Rule5.4 Conditional Probability and the General Multiplication Rule5.5 Counting Techniques5.6 Simulating Probability Experiments5.7 Putting It Together: Which Method Do I Use?5.8 Bayes's Rule (online)Chapter 5 ReviewChapter TestMaking an Informed Decision: The Effects of Drinking and DrivingCase Study: The Case of the Body in the Bag 6. Discrete Probability Distributions 6.1 Discrete Random Variables6.2 The Binomial Probability Distribution6.3 The Poisson Probability Distribution6.4 The Hypergeometric Probability Distribution (online)6.5 Combining Random Variables (online)Chapter 6 ReviewChapter TestMaking an Informed Decision: Should We Convict?Case Study: The Voyage of the St. Andrew 7. The Normal Probability Distribution 7.1 Properties of the Normal Distribution7.2 Applications of the Normal Distribution7.3 Assessing Normality7.4 The Normal Approximation to the Binomial Probability DistributionChapter 7 ReviewChapter TestMaking an Informed Decision: Stock PickingCase Study: A Tale of Blood Chemistry IV. INFERENCE: FROM SAMPLES TO POPULATION 8. Sampling Distributions 8.1 Distribution of the Sample Mean8.2 Distribution of the Sample ProportionChapter 8 ReviewChapter TestMaking an Informed Decision: How Much Time Do You Spend in a Day…?Case Study: Sampling Distribution of the Median 9. Estimating the Value of a Parameter 9.1 Estimating a Population Proportion9.2 Estimating a Population Mean9.3 Estimating a Population Standard Deviation9.4 Putting It Together: Which Method Do I Use?9.5 Estimating with BootstrappingChapter 9 ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House?Case Study: Fire-Safe Cigarettes 10. Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing10.2 Hypothesis Tests for a Population Proportion10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)10.3 Hypothesis Tests for a Population Mean10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)10.3B Hypothesis Tests for a Population Mean Using Student's t -Distribution (online)10.4 Hypothesis Tests for a Population Standard Deviation10.5 Putting It Together: Which Method Do I Use?10.6 The Probability of a Type II Error and the Power of the TestChapter 10 ReviewChapter TestMaking an Informed Decision: Selecting a Mutual FundCase Study: How Old Is Stonehenge? 11. Inference on Two Population Parameters 11.1 Inference about Two Population Proportions11.1A Using Randomization Techniques to Compare Two Proportions (online)11.1B Inference About Two Population Proportions Using the Normal Model (online)11.2 Inference about Two Means: Dependent Samples11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)11.2B Inference About Two Population Means: Dependent Samples Using Student's t -Distribution (online)11.3 Inference about Two Means: Independent Samples11.3A Using Randomization Techniques to Compare Two Independent Means (online)11.3B Inference About Two Population Means: Independent Samples Using Student's t -Distribution (online)11.4 Inference about Two Population Standard Deviations11.5 Putting It Together: Which Method Do I Use?Chapter 11 ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy?Case Study: Control in the Design of an Experiment 12. Inference on Categorical Data 12.1 Goodness-of-Fit Test12.2 Tests for Independence and the Homogeneity of Proportions12.3 Inference about Two Population Proportions: Dependent SamplesChapter 12 ReviewChapter TestMaking an Informed Decision: Benefits of CollegeCase Study: Feeling Lucky? Well, Are You? 13. Comparing Three or More Means 13.1 Comparing Three or More Means (One-Way Analysis of Variance)13.2 Post Hoc Tests on One-Way Analysis of Variance13.3 The Randomized Complete Block Design13.4 Two-Way Analysis of VarianceChapter 13 ReviewChapter TestMaking an Informed Decision: Where Should I Invest?Case Study: Hat Size and Intelligence 14. Inference on the Least-Squares Regression Model and Multiple Regression 14.1 Testing the Significance of the Least-Squares Regression Model14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)14.1B Testing the Significance of the Least-squares Regression Model Using Student's t -Distribution (online)14.2 Confidence and Prediction Intervals14.3 Introduction to Multiple Regression14.4 Interaction and Dummy Variables14.5 Polynomial Regression14.6 Building a Regression ModelChapter 14 ReviewChapter TestMaking an Informed Decision: Buying a HomeCase Study: Housing Boom 15. Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics15.2 Runs Test for Randomness15.3 Inference about Measures of Central Tendency15.4 Inference about the Difference between Two Medians: Dependent Samples15.5 Inference about the Difference between Two Medians: Independent Samples15.6 Spearman's Rank-Correlation Test15.7 Kruskal - Wallis TestChapter 15 ReviewChapter TestMaking an Informed Decision: Where Should I Live?Case Study: Evaluating Alabama's 1891 House Bill 504 Photo CreditsAppendix A: TablesAppendix B: Lines (online)AnswersIndex

With training in mathematics, statistics and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school- and college-level mathematics. He is currently an adjunct instructor at Florida SouthWestern State College and retired faculty at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, including a Developmental Math series and a Precalculus series which he writes with his father, Michael Sullivan.  Mike built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so they will become better decision makers with stronger critical-thinking skills.

• Applications IndexI. GETTING THE INFORMATION YOU NEED 1. Data Collection 1.1 Introduction to the Practice of Statistics1.2 Observational Studies versus Designed Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of ExperimentsChapter 1 ReviewChapter TestMaking an Informed Decision: What College Should I Attend?Case Study: Chrysalises for Cash II. DESCRIPTIVE STATISTICS 2. Organizing and Summarizing Data 2.1 Organizing Qualitative Data2.2 Organizing Quantitative Data: The Popular Displays2.3 Additional Displays of Quantitative Data2.4 Graphical Misrepresentations of DataChapter 2 ReviewChapter TestMaking an Informed Decision: Tables or Graphs?Case Study: The Day the Sky Roared 3. Numerically Summarizing Data 3.1 Measures of Central Tendency3.2 Measures of Dispersion3.3 Measures of Central Tendency and Dispersion from Grouped Data3.4 Measures of Position and Outliers3.5 The Five-Number Summary and BoxplotsChapter 3 ReviewChapter TestMaking an Informed Decision: What Car Should I Buy?Case Study: Who Was "A Mourner"? 4. Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation4.2 Least-Squares Regression4.3 Diagnostics on the Least-Squares Regression Line4.4 Contingency Tables and Association4.5 Nonlinear Regression: Transformations (online)Chapter 4 ReviewChapter TestMaking an Informed Decision: Relationships among Variables on a World ScaleCase Study: Thomas Malthus, Population, and Subsistence III. PROBABILITY AND PROBABILITY DISTRIBUTIONS 5. Probability 5.1 Probability Rules5.2 The Addition Rule and Complements5.3 Independence and the Multiplication Rule5.4 Conditional Probability and the General Multiplication Rule5.5 Counting Techniques5.6 Simulating Probability Experiments5.7 Putting It Together: Which Method Do I Use?5.8 Bayes's Rule (online)Chapter 5 ReviewChapter TestMaking an Informed Decision: The Effects of Drinking and DrivingCase Study: The Case of the Body in the Bag 6. Discrete Probability Distributions 6.1 Discrete Random Variables6.2 The Binomial Probability Distribution6.3 The Poisson Probability Distribution6.4 The Hypergeometric Probability Distribution (online)6.5 Combining Random Variables (online)Chapter 6 ReviewChapter TestMaking an Informed Decision: Should We Convict?Case Study: The Voyage of the St. Andrew 7. The Normal Probability Distribution 7.1 Properties of the Normal Distribution7.2 Applications of the Normal Distribution7.3 Assessing Normality7.4 The Normal Approximation to the Binomial Probability DistributionChapter 7 ReviewChapter TestMaking an Informed Decision: Stock PickingCase Study: A Tale of Blood Chemistry IV. INFERENCE: FROM SAMPLES TO POPULATION 8. Sampling Distributions 8.1 Distribution of the Sample Mean8.2 Distribution of the Sample ProportionChapter 8 ReviewChapter TestMaking an Informed Decision: How Much Time Do You Spend in a Day…?Case Study: Sampling Distribution of the Median 9. Estimating the Value of a Parameter 9.1 Estimating a Population Proportion9.2 Estimating a Population Mean9.3 Estimating a Population Standard Deviation9.4 Putting It Together: Which Method Do I Use?9.5 Estimating with BootstrappingChapter 9 ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House?Case Study: Fire-Safe Cigarettes 10. Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing10.2 Hypothesis Tests for a Population Proportion10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)10.3 Hypothesis Tests for a Population Mean10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)10.3B Hypothesis Tests for a Population Mean Using Student's t -Distribution (online)10.4 Hypothesis Tests for a Population Standard Deviation10.5 Putting It Together: Which Method Do I Use?10.6 The Probability of a Type II Error and the Power of the TestChapter 10 ReviewChapter TestMaking an Informed Decision: Selecting a Mutual FundCase Study: How Old Is Stonehenge? 11. Inference on Two Population Parameters 11.1 Inference about Two Population Proportions11.1A Using Randomization Techniques to Compare Two Proportions (online)11.1B Inference About Two Population Proportions Using the Normal Model (online)11.2 Inference about Two Means: Dependent Samples11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)11.2B Inference About Two Population Means: Dependent Samples Using Student's t -Distribution (online)11.3 Inference about Two Means: Independent Samples11.3A Using Randomization Techniques to Compare Two Independent Means (online)11.3B Inference About Two Population Means: Independent Samples Using Student's t -Distribution (online)11.4 Inference about Two Population Standard Deviations11.5 Putting It Together: Which Method Do I Use?Chapter 11 ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy?Case Study: Control in the Design of an Experiment 12. Inference on Categorical Data 12.1 Goodness-of-Fit Test12.2 Tests for Independence and the Homogeneity of Proportions12.3 Inference about Two Population Proportions: Dependent SamplesChapter 12 ReviewChapter TestMaking an Informed Decision: Benefits of CollegeCase Study: Feeling Lucky? Well, Are You? 13. Comparing Three or More Means 13.1 Comparing Three or More Means (One-Way Analysis of Variance)13.2 Post Hoc Tests on One-Way Analysis of Variance13.3 The Randomized Complete Block Design13.4 Two-Way Analysis of VarianceChapter 13 ReviewChapter TestMaking an Informed Decision: Where Should I Invest?Case Study: Hat Size and Intelligence 14. Inference on the Least-Squares Regression Model and Multiple Regression 14.1 Testing the Significance of the Least-Squares Regression Model14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)14.1B Testing the Significance of the Least-squares Regression Model Using Student's t -Distribution (online)14.2 Confidence and Prediction Intervals14.3 Introduction to Multiple Regression14.4 Interaction and Dummy Variables14.5 Polynomial Regression14.6 Building a Regression ModelChapter 14 ReviewChapter TestMaking an Informed Decision: Buying a HomeCase Study: Housing Boom 15. Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics15.2 Runs Test for Randomness15.3 Inference about Measures of Central Tendency15.4 Inference about the Difference between Two Medians: Dependent Samples15.5 Inference about the Difference between Two Medians: Independent Samples15.6 Spearman's Rank-Correlation Test15.7 Kruskal - Wallis TestChapter 15 ReviewChapter TestMaking an Informed Decision: Where Should I Live?Case Study: Evaluating Alabama's 1891 House Bill 504 Photo CreditsAppendix A: TablesAppendix B: Lines (online)AnswersIndex

With training in mathematics, statistics and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school- and college-level mathematics. He is currently an adjunct instructor at Florida SouthWestern State College and retired faculty at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, including a Developmental Math series and a Precalculus series which he writes with his father, Michael Sullivan.  Mike built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so they will become better decision makers with stronger critical-thinking skills.

• Applications IndexI. GETTING THE INFORMATION YOU NEED 1. Data Collection 1.1 Introduction to the Practice of Statistics1.2 Observational Studies versus Designed Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of ExperimentsChapter 1 ReviewChapter TestMaking an Informed Decision: What College Should I Attend?Case Study: Chrysalises for Cash II. DESCRIPTIVE STATISTICS 2. Organizing and Summarizing Data 2.1 Organizing Qualitative Data2.2 Organizing Quantitative Data: The Popular Displays2.3 Additional Displays of Quantitative Data2.4 Graphical Misrepresentations of DataChapter 2 ReviewChapter TestMaking an Informed Decision: Tables or Graphs?Case Study: The Day the Sky Roared 3. Numerically Summarizing Data 3.1 Measures of Central Tendency3.2 Measures of Dispersion3.3 Measures of Central Tendency and Dispersion from Grouped Data3.4 Measures of Position and Outliers3.5 The Five-Number Summary and BoxplotsChapter 3 ReviewChapter TestMaking an Informed Decision: What Car Should I Buy?Case Study: Who Was "A Mourner"? 4. Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation4.2 Least-Squares Regression4.3 Diagnostics on the Least-Squares Regression Line4.4 Contingency Tables and Association4.5 Nonlinear Regression: Transformations (online)Chapter 4 ReviewChapter TestMaking an Informed Decision: Relationships among Variables on a World ScaleCase Study: Thomas Malthus, Population, and Subsistence III. PROBABILITY AND PROBABILITY DISTRIBUTIONS 5. Probability 5.1 Probability Rules5.2 The Addition Rule and Complements5.3 Independence and the Multiplication Rule5.4 Conditional Probability and the General Multiplication Rule5.5 Counting Techniques5.6 Simulating Probability Experiments5.7 Putting It Together: Which Method Do I Use?5.8 Bayes's Rule (online)Chapter 5 ReviewChapter TestMaking an Informed Decision: The Effects of Drinking and DrivingCase Study: The Case of the Body in the Bag 6. Discrete Probability Distributions 6.1 Discrete Random Variables6.2 The Binomial Probability Distribution6.3 The Poisson Probability Distribution6.4 The Hypergeometric Probability Distribution (online)6.5 Combining Random Variables (online)Chapter 6 ReviewChapter TestMaking an Informed Decision: Should We Convict?Case Study: The Voyage of the St. Andrew 7. The Normal Probability Distribution 7.1 Properties of the Normal Distribution7.2 Applications of the Normal Distribution7.3 Assessing Normality7.4 The Normal Approximation to the Binomial Probability DistributionChapter 7 ReviewChapter TestMaking an Informed Decision: Stock PickingCase Study: A Tale of Blood Chemistry IV. INFERENCE: FROM SAMPLES TO POPULATION 8. Sampling Distributions 8.1 Distribution of the Sample Mean8.2 Distribution of the Sample ProportionChapter 8 ReviewChapter TestMaking an Informed Decision: How Much Time Do You Spend in a Day…?Case Study: Sampling Distribution of the Median 9. Estimating the Value of a Parameter 9.1 Estimating a Population Proportion9.2 Estimating a Population Mean9.3 Estimating a Population Standard Deviation9.4 Putting It Together: Which Method Do I Use?9.5 Estimating with BootstrappingChapter 9 ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House?Case Study: Fire-Safe Cigarettes 10. Hypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing10.2 Hypothesis Tests for a Population Proportion10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)10.3 Hypothesis Tests for a Population Mean10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)10.3B Hypothesis Tests for a Population Mean Using Student's t -Distribution (online)10.4 Hypothesis Tests for a Population Standard Deviation10.5 Putting It Together: Which Method Do I Use?10.6 The Probability of a Type II Error and the Power of the TestChapter 10 ReviewChapter TestMaking an Informed Decision: Selecting a Mutual FundCase Study: How Old Is Stonehenge? 11. Inference on Two Population Parameters 11.1 Inference about Two Population Proportions11.1A Using Randomization Techniques to Compare Two Proportions (online)11.1B Inference About Two Population Proportions Using the Normal Model (online)11.2 Inference about Two Means: Dependent Samples11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)11.2B Inference About Two Population Means: Dependent Samples Using Student's t -Distribution (online)11.3 Inference about Two Means: Independent Samples11.3A Using Randomization Techniques to Compare Two Independent Means (online)11.3B Inference About Two Population Means: Independent Samples Using Student's t -Distribution (online)11.4 Inference about Two Population Standard Deviations11.5 Putting It Together: Which Method Do I Use?Chapter 11 ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy?Case Study: Control in the Design of an Experiment 12. Inference on Categorical Data 12.1 Goodness-of-Fit Test12.2 Tests for Independence and the Homogeneity of Proportions12.3 Inference about Two Population Proportions: Dependent SamplesChapter 12 ReviewChapter TestMaking an Informed Decision: Benefits of CollegeCase Study: Feeling Lucky? Well, Are You? 13. Comparing Three or More Means 13.1 Comparing Three or More Means (One-Way Analysis of Variance)13.2 Post Hoc Tests on One-Way Analysis of Variance13.3 The Randomized Complete Block Design13.4 Two-Way Analysis of VarianceChapter 13 ReviewChapter TestMaking an Informed Decision: Where Should I Invest?Case Study: Hat Size and Intelligence 14. Inference on the Least-Squares Regression Model and Multiple Regression 14.1 Testing the Significance of the Least-Squares Regression Model14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)14.1B Testing the Significance of the Least-squares Regression Model Using Student's t -Distribution (online)14.2 Confidence and Prediction Intervals14.3 Introduction to Multiple Regression14.4 Interaction and Dummy Variables14.5 Polynomial Regression14.6 Building a Regression ModelChapter 14 ReviewChapter TestMaking an Informed Decision: Buying a HomeCase Study: Housing Boom 15. Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics15.2 Runs Test for Randomness15.3 Inference about Measures of Central Tendency15.4 Inference about the Difference between Two Medians: Dependent Samples15.5 Inference about the Difference between Two Medians: Independent Samples15.6 Spearman's Rank-Correlation Test15.7 Kruskal - Wallis TestChapter 15 ReviewChapter TestMaking an Informed Decision: Where Should I Live?Case Study: Evaluating Alabama's 1891 House Bill 504 Photo CreditsAppendix A: TablesAppendix B: Lines (online)AnswersIndex